Find Files
RetrievalFindPage beta().retrieval().find(RetrievalFindParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
POST/api/v1/retrieval/files/find
Find Files
package com.llamacloud_prod.api.example;
import com.llamacloud_prod.api.client.LlamaCloudClient;
import com.llamacloud_prod.api.client.okhttp.LlamaCloudOkHttpClient;
import com.llamacloud_prod.api.models.beta.retrieval.RetrievalFindPage;
import com.llamacloud_prod.api.models.beta.retrieval.RetrievalFindParams;
public final class Main {
private Main() {}
public static void main(String[] args) {
LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();
RetrievalFindParams params = RetrievalFindParams.builder()
.indexId("idx-abc123")
.build();
RetrievalFindPage page = client.beta().retrieval().find(params);
}
}{
"items": [
{
"file_id": "file_id",
"file_name": "file_name"
}
],
"next_page_token": "next_page_token",
"total_size": 0
}Returns Examples
{
"items": [
{
"file_id": "file_id",
"file_name": "file_name"
}
],
"next_page_token": "next_page_token",
"total_size": 0
}Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
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- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/